GAIN Quant DB

Accelerate the development time and performance of quantitative investment models

GAIN Quant DB is a highly configurable aggregation database designed to accelerate the development of models and testing of strategies in MatLab, R or other analytics platforms. The system helps speed up research processes by automating tedious data preparation tasks. GAIN Quant DB aggregates and cross-references data from multiple sources (including Thomson Reuters QA, Bloomberg and stock exchanges) and creates reports that are seamlessly integrated into numerical computing environments, such as MATLAB.

Industrializing the research process

GAIN Quant DB helps asset managers to industrialize the data preparation processes in order to expedite the testing of new models and new investment strategies, ultimately enabling them to be more efficient in launching new funds.

GAIN Quant DB provides quant teams with a shared knowledgebase, while making the research process completely auditable. As a result, researchers get the data they need more quickly, allowing them to develop more accurate investment strategies in shorter timeframes.

The problems with manual data preparation

Effective data preparation is crucial for ensuring the accuracy of the data underlying new quantitative models before launching new funds.

However, at several firms, this data preparation process is manually-intensive, time-consuming and error-prone, as each quant develops their own tools, scripts, databases, and spreadsheets. Not only is this approach highly inefficient, it also leaves the firm open to high levels of operational and reputational risk.

The key to solving this issue is to automate the data aggregation process.

Snapshots of market data can be requested on demand by end users or generated automatically. GAIN Quant DB also supports “point in time” functionality, reducing the risk of “look-ahead-bias ”. The product provides quants staff with accurate time series data, which can be fully traced back.

With GAIN Quant DB, researchers can access the data they need more quickly. They can develop more accurate investment strategies with less effort, while full transparency and data control increase the trust of institutional investors.

An industry-proven business application

The next generation of data management practice needs ready-to-use business user applications that puts less burden on IT.

GAIN Quant DB is a workflow-oriented application that overarches existing architectures and allows data management to be solved in a proven, timely fashion allowing for growth and adaptation in a complex investment management environment.

Driven by an active community of users and staff specialists, the product stays in front of emerging industry requirements and provides comprehensive solutions, tools and guidance.

Rich feature set

Reduced risk

Time and cost savings

Better business

Product Brochure

Find out more about GAIN Quant DB

GAIN Quant DB is a highly configurable aggregation database designed to accelerate the development of models and testing of strategies in MatLab, R or other analytics platform.

Investment manager accelerates development of quant strategies with one data platform The asset management arm of one of the Top 10 Swiss Banks uses GAIN Quant DB to industrialize the data preparation activities of its “quants” research team, by automating the aggregation of

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